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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 1164 for “"Microarray"”.
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Microarray submissions to Experibase
… extended to include a robust representation of microarray data, a leading experimental technique. The microarray submission system takes advantage of Experibase's new microarray storage capabilities by allowing biologist to submit microarray data to Experibase using an application that they are …
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Differential modeling for cancer microarray data
<p>Capturing the changes between two biological phenotypes is a crucial task in understanding the mechanisms of various diseases. Most of the existing computational approaches depend on testing the changes in the expression levels of each single gene individually. In this work, we proposed novel …
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Microarray-basierte genotypische Resistenzbestimmung in HIV
… Voraussetzung. In dieser Arbeit wurde ein Microarray zur Detektion von relevanten Mutationen innerhalb der Protease (PR) und –Reversen Transkriptase (RT) des humanen Immundefizienzvirus (HIV) entwickelt und validiert. Als zeit und kostengünstigere Alternative zur routinemäßig eingesetzten …
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Analysis of breast tissue microarray spots
Tissue microarrays (TMAs) are a high-throughput technique that facilitates the survey of very large numbers of tumours, important both in clinical and research applications. However, the assessment of stained TMA sections is laborious and still needs to be carried manually, constituting a …
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Optimization of cDNA microarray image analysis methods
… that control these changes. With the DNA microarray technology researchers are now able to determine, in a single experiment, the gene expression profiles of hundreds to tens of thousands of genes in tissue, tumors, cells or biological fluids. Accordingly, and since the patterns of gene …
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Probe Level Analysis of Affymetrix Microarray Data
… as RobustMulti-chip Average (RMA), dChip and Microarray Suite version 5.0 (MAS5)), which are thenfollowed by application of statistical tests to determine which genes are differentially expressed. An alternative approach is a probe-level analysis, which tests for differential expression …
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Bioinformatics framework for genotyping microarray data analysis
… in high-throughput instrumentation and microarray data analysis. Genotyping microarrays establish the genotypes of DNA sequences containing single nucleotide polymorphisms (SNPs), and can help biologists probe the functions of different genes and/or construct complex gene interaction …
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Development of Informative Priors in Microarray Studies
Microarrays measure the abundance of DNA transcripts for thousands of gene sequences, simultaneously facilitating genomic comparisons across tissue types or disease status. These experiments are used to understand fundamental aspects of growth and development and to explore the underlying genetic …
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Automated liquid dispensing pin for DNA microarray applications
… In particular, the application is focused on DNA microarray fabrication with the goals of smaller spot size, higher yield, more efficient usage of biological materials, and capability to handle high viscosity liquids. The new system is based on active sensing and control and it is part of a fully …
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Unsupervised gene regulatory network inference on microarray data
… expression data, which are usually obtained from microarray experiments. A gene network is a method to depict the relation among clusters of genes. To infer gene networks, the unsupervised method is used in this study. The two types of data used are time-series data and steady-state data. The data …
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Microarray-based gene set analysis in cancer studies
… of gene set analysis methods to problems in microarray-based data sets. The work consists of three parts. In the first part a gene set analysis method (PCOT2) is developed. It utilizes inter-gene correlation to detect significant alteration in gene sets across experimental conditions. The …
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Contributions to Statistical Problems Related to Microarray Data
Microarray is a high throughput technology to measure the gene expression. Analysis of microarray data brings many interesting and challenging problems. This thesis consists three studies related to microarray data. First, we propose a Bayesian model for microarray data and use Bayes Factors to …
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Improved microarray sensitivity using photonic crystal enhanced fluorescence
… relevant biomolecules such as DNA and proteins. Microarrays in particular have enabled researchers and clinicians to monitor gene expression and protein concentrations in a high-throughput fashion, providing valuable information about cellular and systemic function. Despite the proliferation of …
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A label-free, fluorescence based assay for microarray
… by over 100-fold. DNA chip, also called DNA microarray, is a combinatorial technology in which different single-stranded DNA (ssDNA) molecules of known sequences are immobilized at specific spots. The immobilized ssDNA strands are called probes. In application, the chip is exposed to a …
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Probabilistic Finite Mixture Clustering of Genetic Expression Microarray Data
Exploratory cluster analysis of large data sets often implements k-means or hierarchical methods. These routines typically exhibit limitations which reduces the reliability of the results. Both assign observations to the one component for which its Euclidean distance from the center is smallest. …
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Gene expression microarray analysis of small, purified cell subsets
Gene expression microarray technology is potentially capable of examining all of the cellular processes at the mRNA level at a given moment. One major challenge in its applicability is that most biological samples are cell mixtures and the cell type of interest is often a minor cell subset. Using …
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An improved microarray image analysis architecture using mathematical morphology
DNA microarrays are now widely used to measure gene expression levels of healthy and cancerous cells. To allow further experiment for drug development to treat cancer, colour intensity from images of microarray spots need to be extracted as accurate as possible. The intensity extraction requires …
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Pediatric Microarray Testing: The Process of Informing and Consenting
… into the clinical arena in 2004, chromosomal microarray (CMA) testing has rapidly evolved into a powerful diagnostic test and changed pediatric genetic practice. In the past year several investigators have recommended that microarray testing be included in the first-tier of testing for …
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